Dashboard

instacart_clean=
  instacart %>% 
  select(product_id, add_to_cart_order, reordered, order_dow, product_name) %>% 
  mutate(
    order_dow=factor(order_dow,level = 0:6,labels = c("Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"))
  )

Column

Plot 1: Bar Plot of Top 10 Most Ordered Products

top_products =
  instacart_clean %>%
  count(product_name, sort = TRUE) %>%
  slice_max(n, n = 10) %>% 
  mutate(product_name = fct_reorder(product_name, n))

bar_plot =
  plot_ly(
    data = top_products,
    x = ~ product_name,
    y = ~ n,
    type ="bar",
    color = ~ product_name,
   colors = "viridis"
  ) %>% 
layout(
    xaxis = list(title = "product_name"),
    yaxis = list(title = "Number of Orders")
  )

bar_plot

Column

Plot 2: Scatterplot of Reorder Rate by Add-to-Cart Position

scatter_data =
  instacart_clean %>%
  filter(add_to_cart_order <= 100) %>% 
  group_by(add_to_cart_order) %>%
  summarize(reorder_rate = mean(reordered, na.rm = TRUE)) %>% 
  mutate(text_label = str_c("Add-to-Cart Order: ", add_to_cart_order, "\nReorder Rate: ", round(reorder_rate, 2)))

scatter_plot=
  scatter_data %>%
  plot_ly(
    x = ~ add_to_cart_order, 
    y = ~ reorder_rate, 
    type = "scatter", 
    mode = "markers",
    color = ~reorder_rate,  # Color by reorder rate for a gradient effect
    text = ~text_label,  # Hover text
    alpha = 0.6  # Transparency for markers
  ) %>%
  layout(
    xaxis = list(title = "Add-to-Cart Order"),
    yaxis = list(title = "Reorder Rate")
  )

scatter_plot

Plot 3: Boxplot of Add-to-Cart Order Positions (Under 30) by Day of the Week

# Create box plot with plot_ly
box_plot =
  instacart_clean %>%
  filter(add_to_cart_order < 30) %>% 
  plot_ly(
    x = ~ order_dow,
    y = ~add_to_cart_order,
    color = ~ order_dow,
    type = "box",
    colors = "viridis" 
  ) %>%
  layout(
    yaxis = list(title = "Add-to-Cart Order Position"),
    xaxis = list(title = "Day of the Week")
  )

box_plot